20260201: BrainPick for ETH Oxford Hackathon

Summary of Programme:

In just 48 hours, my teammates and I built a next-generation consumer primitive using only smart glasses equipped with EEG sensors and eye-tracking technology. This system captures real-time physiological preferences in under 0.5 seconds!

Data is locally anonymised, encrypted, and uploaded as privacy-safe interest tags. And businesses can then use our API to deliver truly personalised experiences — so no more guessing!

Tech Highlights:
· Full-stack framework built in Python
· Eye-tracking via the GazeTracking library
· Custom EEG analysis pipeline for brainwave data
· Secure client-server communication via encrypted HTTP POST
· Lightweight, privacy-by-design data flow

Screenshot for Document:

https://github.com/kaitlyn-xie-jj/Brain-Pick.git